Manager, Data Platform

at G2

Bengaluru, manager, full time, 8+ years

posted 15 Jul 2026

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S3
Airflow
Qlikview
Tableau
ELT
EKS
Test Driven Development
Looker
Redshift
SQL
Glue
Docker
PowerBI
Snowflake
dbt
CI/CD
Data Modeling
ETL
AWS
Lambda
Python
Kubernetes

About the role

As the Manager – Data platform, you will lead teams responsible for designing, building, and operating scalable, reliable, secure, and governed data platform capabilities that power analytics, data science, AI, and product use cases. You will define the vision and execution strategy for the data platform, ensuring teams deliver cloud-native solutions using technologies such as Snowflake, AWS, dbt, and Airflow. Partnering closely with data engineering, analytics, data science, security, and product teams, you will drive the development of trusted, production-grade data capabilities that support G2’s growth, governance, and AI readiness objectives.

What you would do

- Data Platform & Pipeline Strategy and Delivery (40%):

- Own the roadmap and delivery of scalable data platform capabilities across ingestion, transformation, storage, serving, and access layers.

- Guide teams in designing robust, reusable, and secure platform solutions for analytics, ML, AI, and product use cases.

- Define and enforce platform architecture standards, engineering best practices, and development patterns.

- Partner with engineering, analytics, and product teams to ensure data is reliable, discoverable, and accessible.

- Drive adoption of modern data architecture practices, including data products, self-service analytics, metadata management, and automation.

- Evaluate and influence technology choices to improve scalability, reliability, developer productivity, and cost efficiency.

Platform Reliability, Governance and Operations (35%)

- Establish accountability for platform reliability, availability, performance, and operational excellence.

- Define and manage platform SLAs/SLOs for critical data services and capabilities.

- Drive implementation of data quality, observability, lineage, monitoring, and alerting frameworks.

- Partner with security and governance teams to implement scalable access controls, compliance standards, and data protection practices.

- Lead incident management, root cause analysis, and continuous improvement of platform operations.

- Optimize cloud and platform costs through performance tuning, workload management, and resource governance.

Read from jobs.ashbyhq.com, last seen 3d ago.

What they are looking for

We realize applying for jobs can feel daunting at times. Even if you don’t check all the boxes in the job description, we encourage you to apply anyway.

- 8+ years of experience in data engineering, data platforms, or cloud data architecture, with 3+ years in engineering leadership roles.

- Strong expertise in SQL, Python, data modeling, ELT/ETL development, and modern data architecture patterns.

- Hands-on experience with Snowflake and AWS data services (EKS, S3, Lambda, Glue, Redshift).

- Experience with orchestration and transformation tools such as Airflow, dbt, or similar technologies.

- Deep understanding of data warehouse, lakehouse, and enterprise data platform architectures.

- Experience implementing data quality, lineage, metadata management, and observability solutions.

- Proven ability to lead, mentor, and develop high-performing engineering teams.

- Strong stakeholder management, communication, and execution skills.

- Ability to balance platform reliability, governance, delivery, and long-term technical vision.

WHAT CAN HELP YOUR APPLICATION STAND OUT:

- Experience with Docker/Kubernetes.

- Proficiency in data modeling, schema design, and optimizing data structures for performance in Snowflake.

- Working experience in startup environments.

- Experience with Agile process methodology, CI/CD automation, Test Driven Development.

- Knowledge of data governance, security, and compliance standards within cloud-based data solutions.

- Understanding of any reporting tools such as Tableau, Qlikview ,Looker or PowerBI.

- Database administration background.

Our Commitment to Inclusivity and Diversity

At G2, we are committed to creating an inclusive and diverse environment where people of every background can thrive and feel welcome. We consider applicants without regard to race, color, creed, religion, national origin, genetic information, gender identity or expression, sexual orientation, pregnancy, age, or marital, veteran, or physical or mental disability status. Learn more about our commitments here https://culture.g2.com/commitments.

For job applicants in California, the United Kingdom, and the European Union, please review this applicant privacy notice https://legal.g2.com/applicant-privacy-notice before applying to this job.

How We Use AI Technology in Our Hiring Process G2 incorporates AI-powered technology to enhance our candidate evaluation process. These tools may assist with initial application screening, skills assessment analysis, and identifying candidates whose qualifications align with specific role requirements. While AI technology supports our recruitment workflow, all final hiring decisions remain under human oversight and judgment.

Your Choice Matters: If you would prefer that your application be reviewed without AI assistance, you can opt out by entering your email address in the email entry field at the bottom of the Automated Processing Legal Notice. Choosing to opt out will not disadvantage your application in any way—we will ensure your materials receive a thorough manual review by our hiring team. For additional details about how we handle your information throughout the application process, please review G2's Applicant Privacy Notice https://legal.g2.com/applicant-privacy-notice.